Plan for Iteration 2.
Minimum Viable Product (MVP): When Gaitkeeper can accurately sense a normal walking gait and provide recognizable feedback when the gait is improper. This will include an accelerometer whose reading will be processed in a program to determine walking gait and in turn vibrate the user to notify them that the gait is improper.
Total Feature List (prioritized):
Feature | Priority | Time |
Detect walking with accelerometer | High | 65 hours |
Research walking gait and angles associated at various steps | High | 20 hours |
Use potentiometer and bend sensor to test ROM | Medium | 10 hours |
Use switch on brace or pressure sensor hinge to detect full extension | Low | 10 hours |
Learn how to use Arduino Nano BLE function | Medium | 6 hours |
Use BLE/wifi to send data to computer for sensing buzzer | High | 30 hours |
Integrate walking data with computer readings to activate buzzer | High | 20 hours |
Use data on computer to do data analysis for user and PT | Low | 25 hours |
Test various batteries (9V, portable phone charger) | Medium | 5 hours |
Test and determine best feedback mechanisms (buzzer, haptic, etc) | High | 10 hours |
Attach and adjust placement of sensors on brace | Medium | 5 hours |
———————————————————- | ——- | TOTAL: 216 hours |
Note: Work in bold has been completed or worked on partially
Work planned for iteration 2:
Name | Feature | Hours |
Mallory | Swap out potentiometer, incorporate another buzzer, detect walking with accelerometer | ~24 hours |
Elsy | Swap out potentiometer, incorporate another buzzer, detect walking with accelerometer | ~24 hours |
Elijah | Swap out potentiometer, incorporate another buzzer, detect walking with accelerometer | ~24 hours |
The desired outcome of iteration 2 is a fully functioning prototype (our MVP) where walking is properly detected. We would like the brace to have all the new components we decided upon connected and to detect the walking motion properly. This will include replacing our current components with refined ones and using our conceptual gait research in practice.
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